000 | 02128naaaa2200385uu 4500 | ||
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003 | BUT | ||
005 | 20230330152123.0 | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20230215s2022 xx |||||o ||| eng|| d | ||
020 | _a9781839698880 | ||
020 | _a9781839698873 | ||
020 | _a9781839698897 | ||
040 |
_aoapen _coapen |
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041 | 0 | _aeng | |
072 | 7 |
_aUNF _2bicssc |
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080 | _a004.8 | ||
100 | 1 |
_aTang, Niansheng _4edt |
|
245 | 1 | 0 | _aData Clustering |
260 |
_bIntechOpen _c2022 |
||
300 | _a1 electronic resource (126 p.) | ||
490 | 1 |
_aArtificial Intelligence _vv.10 |
|
506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
520 | _aIn view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data. | ||
540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc |
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546 | _aEnglish | ||
650 | 0 |
_aИскусственный интеллект _94518 |
|
653 | _aDatabases | ||
700 | 1 |
_aTang, Niansheng _4oth |
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830 |
_94528 _aArtificial Intelligence _vv.10 |
||
856 | 4 | 0 |
_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/10820/authors_book/authors_book.pdf _70 _zDownload |
856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/97038 _70 _zDescription |
909 |
_c4 _dDarya Shvetsova |
||
942 |
_2udc _cEE |
||
999 |
_c6256 _d6256 |